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» Parallel computing with CUDA
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PPOPP
2012
ACM
13 years 5 months ago
PARRAY: a unifying array representation for heterogeneous parallelism
This paper introduces a programming interface called PARRAY (or Parallelizing ARRAYs) that supports system-level succinct programming for heterogeneous parallel systems like GPU c...
Yifeng Chen, Xiang Cui, Hong Mei
67
Voted
GECCO
2010
Springer
157views Optimization» more  GECCO 2010»
15 years 1 months ago
Speeding up the evaluation of evolutionary learning systems using GPGPUs
In this paper we introduce a method for computing fitness in evolutionary learning systems based on NVIDIA’s massive parallel technology using the CUDA library. Both the match ...
María A. Franco, Natalio Krasnogor, Jaume B...
84
Voted
EUROGRAPHICS
2010
Eurographics
15 years 5 months ago
Fast Ray Sorting and Breadth-First Packet Traversal for GPU Ray Tracing
We present a novel approach to ray tracing execution on commodity graphics hardware using CUDA. We decompose a standard ray tracing algorithm into several data-parallel stages tha...
Kirill Garanzha and Charles Loop
IPPS
2009
IEEE
15 years 4 months ago
Exploring the multiple-GPU design space
Graphics Processing Units (GPUs) have been growing in popularity due to their impressive processing capabilities, and with general purpose programming languages such as NVIDIA’s...
Dana Schaa, David R. Kaeli
CLUSTER
2009
IEEE
14 years 7 months ago
MITHRA: Multiple data independent tasks on a heterogeneous resource architecture
With the advent of high-performance COTS clusters, there is a need for a simple, scalable and faulttolerant parallel programming and execution paradigm. In this paper, we show that...
Reza Farivar, Abhishek Verma, Ellick Chan, Roy H. ...